Sylvaine Francoise

DEVELOPMENT OF SEQUENCE CHARACTERIZED AMPLIFIED REGION MARKERS FROM INTERSIMPLE SEQUENCE REPEAT FINGERPRINTS FOR THE MOLECULAR DETECTION OF TOXIC PHYTOPLANKTON ALEXANDRIUM CATENELLA (DINOPHYCEAE) AND PSEUDO-NITZSCHIA PSEUDODELICATISSIMA (BACILLARIOPHYCEAE) FROM FRENCH COASTAL WATERS1

Harmful algal blooms are a serious threat to shellfish farming and human health all over the world. The monitoring of harmful algae in coastal waters originally involved morphological identification through microscopic examinations, which was often difficult unless performed by specialists and even then often did not permit identification of toxic species. More recently, specific molecular markers have been used to identify specific phytoplankton species or strains. Here we report on the use of the intersimple sequence repeat (ISSR) technique to develop specific sequence characterized amplified region markers (SCAR) and to identify with these tools two toxic species in French coastal waters, the diatom Pseudo‐nitzschia pseudodelicatissima (Hasle) Hasle and the dinoflagellate Alexandrium catenella (Whedon and Kofoid 1936), Balech 1985. Six polymorphic ISSR regions were selected among amplified fingerprints of a representative sample of phytoplankton species. After cloning and sequencing the selected polymorphic ISSR regions, pairs of internal primers were designed to amplify a unique and specific sequence designed as a SCAR marker. Of the six selected SCAR markers, three were specific to P. pseudodelicatissima and one for A. catenella. The SCAR marker specificity was confirmed by using basic local alignment search tool comparison, by experimental assays on different strains from 11 countries, and by checking that the sequence amplified was the expected one. When tested on water samples collected along the French shores, the four specific SCAR markers proved to be efficient tools for fast and low‐cost detection of toxic phytoplankton species.

Towards the Determination of Mytilus edulis Food Preferences Using the Dynamic Energy Budget (DEB) Theory.

The blue mussel, Mytilus edulis, is a commercially important species, with production based on both fisheries and aquaculture. Dynamic Energy Budget (DEB) models have been extensively applied to study its energetics but such applications require a deep understanding of its nutrition, from filtration to assimilation. Being filter feeders, mussels show multiple responses to temporal fluctuations in their food and environment, raising questions that can be investigated by modeling. To provide a better insight into mussel–environment interactions, an experiment was conducted in one of the main French growing zones (Utah Beach, Normandy). Mussel growth was monitored monthly for 18 months, with a large number of environmental descriptors measured in parallel. Food proxies such as chlorophyll a, particulate organic carbon and phytoplankton were also sampled, in addition to non-nutritious particles. High-frequency physical data recording (e.g., water temperature, immersion duration) completed the habitat description. Measures revealed an increase in dry flesh mass during the first year, followed by a high mass loss, which could not be completely explained by the DEB model using raw external signals. We propose two methods that reconstruct food from shell length and dry flesh mass variations. The former depends on the inversion of the growth equation while the latter is based on iterative simulations. Assemblages of food proxies are then related to reconstructed food input, with a special focus on plankton species. A characteristic contribution is attributed to these sources to estimate nutritional values for mussels. M. edulis shows no preference between most plankton life history traits. Selection is based on the size of the ingested particles, which is modified by the volume and social behavior of plankton species. This finding reveals the importance of diet diversity and both passive and active selections, and confirms the need to adjust DEB models to different populations and sites.